logistic_default 0 1
0 4500 1013
1 145 319
[1] 0.8062573
Confusion Matrix and Statistics
actual
predictions 0 1
0 4394 836
1 251 496
Accuracy : 0.8181
95% CI : (0.8081, 0.8278)
No Information Rate : 0.7771
P-Value [Acc > NIR] : 3.656e-15
Kappa : 0.3775
Mcnemar's Test P-Value : < 2.2e-16
Precision : 0.66399
Recall : 0.37237
F1 : 0.47715
Prevalence : 0.22285
Detection Rate : 0.08298
Detection Prevalence : 0.12498
Balanced Accuracy : 0.65917
'Positive' Class : 1
Report
The accuracy for Logistic Regression Model is 0.8062573.
The accuracy for Random Forest Model is 0.8183035.
This report was generated on February 17, 2020.
Created by: Vignesh EA
Confidential: Nothing like that!